"gaussian process" Papers

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Efficient Top-m Data Values Identification for Data Selection

Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.

ICLR 2025

Kernel Learning for Sample Constrained Black-Box Optimization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

AAAI 2025paperarXiv:2507.20533

Knowledge Distillation of Uncertainty using Deep Latent Factor Model

Sehyun Park, Jongjin Lee, Yunseop Shin et al.

NEURIPS 2025arXiv:2510.19290

Optimal kernel regression bounds under energy-bounded noise

Amon Lahr, Johannes Köhler, Anna Scampicchio et al.

NEURIPS 2025arXiv:2505.22235
1
citations

Accelerating Convergence in Bayesian Few-Shot Classification

Tianjun Ke, Haoqun Cao, Feng Zhou

ICML 2024arXiv:2405.01507
2
citations

Vanilla Bayesian Optimization Performs Great in High Dimensions

Carl Hvarfner, Erik Hellsten, Luigi Nardi

ICML 2024arXiv:2402.02229
72
citations